Clinical content-driven architecture systems and methods of use

ABSTRACT

Certain examples provide methods, systems and apparatus of content-driven clinical information management. An example method includes facilitating authoring of content and combination of the content into a content-based application, wherein content represents a parameterization of instructions to instruct the content-based application how to operate, the content formulated according to one or more detailed clinical models. The example method includes packaging and deploying the content-based application using a processor to one or more targets for installation. The example method includes facilitating installation of the packaged content-based application at the one or more targets. The example method includes managing the content-based application remotely from the one or more targets. In the example method, content is to be created, stored, deployed, and retrieved independently of the creation and deployment of the content-based application consuming data based on the content.

CROSS-REFERENCE TO RELATED APPLICATIONS

This patent claims priority to U.S. Provisional Application Ser. No.61/444,961, entitled “Clinical Content-Driven Architecture Systems andMethods of Use,” which was filed on Feb. 21, 2011 and is herebyincorporated herein by reference in its entirety.

FIELD OF THE DISCLOSURE

The present disclosure relates generally to healthcare informationsystems and, more particularly, to methods and apparatus forcontent-driven systems and methods.

BACKGROUND

Healthcare environments, such as hospitals and clinics, typicallyinclude information systems (e.g., electronic medical record (EMR)systems, lab information systems, outpatient and inpatient systems,hospital information systems (HIS), radiology information systems (RIS),storage systems, picture archiving and communication systems (PACS),etc.) to manage clinical information such as, for example, patientmedical histories, imaging data, test results, diagnosis information,management information, financial information, and/or schedulinginformation. These healthcare information systems are used to implementdifferent types of workflows in which clinical information is generated,updated, augmented, and/or otherwise processed for one or more purposes.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of an example healthcare environment in whichthe example methods, apparatus, systems, and/or articles of manufacturedisclosed herein for clinical content-based healthcare may beimplemented.

FIG. 2 illustrates an example clinical knowledge system providing anaggregation of data from multiple sources.

FIG. 3 illustrates an example interdependence of content types.

FIG. 4 illustrates an example hierarchy of content, associated datamodels, and terminology.

FIG. 5 shows an example root content item having one or more contentvariants which may be associated with one or more context variants.

FIG. 6 provides an example multi-patient view (MPV) including aplurality of formlets and a frameset.

FIG. 7 illustrates an example content management process.

FIG. 8, consisting of FIGS. 8a-8c , shows a deployment example in whicha plurality of models in a content package are deployed to create acontent frame.

FIG. 9 provides an example of namespaces A, B, and C including variouscontent items (CIs).

FIG. 10 depicts an example of a state versus a workflow.

FIG. 11, consisting of FIGS. 11a-11d , illustrates an example clinicalinformation system including a reference platform and one or morecontent items that define clinical functionality.

FIG. 12 illustrates an example of runtime context resolution using aninput context and a pool of variants.

FIG. 13 shows an example in which conflicting variants are rejected.

FIG. 14 shows an example in which more specific context variants arerejected.

FIG. 15 shows an example in which, of remaining variants, a mostspecific variant to an input context is accepted to resolve the inputcontext into a context variant.

FIGS. 16-18 provide examples of runtime context resolution.

FIG. 19 illustrates an example in which context resolution may occur atpackaging time.

FIG. 20 illustrates an example in which conflicting context variants arerejected.

FIG. 21 shows conflicting context variants that may be furthereliminated based on an input context at packaging time.

FIGS. 22-23, consisting of FIGS. 22a-22g and FIGS. 23a-23i ,respectively, illustrate example content management services systems.

FIG. 24 illustrates a flow diagram for an example method of creating andmanaging a clinical application in a content-based system.

FIG. 25 illustrates a flow diagram for an example method ofcontent-driven clinical information management.

FIG. 26 illustrates a flow diagram for an example method of heuristiccontent resolution in an extensible content management system.

FIG. 27 is a block diagram of an example processor system that may beused to implement the apparatus and methods described herein.

The foregoing summary, as well as the following detailed description ofcertain implementations of the methods, apparatus, systems, and/orarticles of manufacture described herein, will be better understood whenread in conjunction with the appended drawings. It should be understood,however, that the methods, apparatus, systems, and/or articles ofmanufacture described herein are not limited to the arrangements andinstrumentality shown in the attached drawings.

BRIEF DESCRIPTION

Certain examples provide a method of content-driven clinical informationmanagement. The example method includes facilitating, using a processor,authoring of content and combination of the content into a content-basedapplication, wherein content represents a parameterization ofinstructions to instruct the content-based application how to operate,the content formulated according to one or more detailed clinicalmodels. The example method includes packaging and deploying thecontent-based application using a processor to one or more targets forinstallation. The example method includes facilitating installation ofthe packaged content-based application at the one or more targets. Theexample method includes managing the content-based application remotelyfrom the one or more targets. In the example method, content is to becreated, stored, deployed, and retrieved independently of the creationand deployment of the content-based application consuming data based onthe content.

Certain examples provide a tangible computer-readable storage mediumincluding computer program code which, when executed, implements amethod of content-driven clinical information management. The examplemethod includes facilitating, using a processor, authoring of contentand combination of the content into a content-based application, whereincontent represents a parameterization of instructions to instruct thecontent-based application how to operate, the content formulatedaccording to one or more detailed clinical models. The example methodincludes packaging and deploying the content-based application using aprocessor to one or more targets for installation. The example methodincludes facilitating installation of the packaged content-basedapplication at the one or more targets. The example method includesmanaging the content-based application remotely from the one or moretargets. In the example method, content is to be created, stored,deployed, and retrieved independently of the creation and deployment ofthe content-based application consuming data based on the content.

DETAILED DESCRIPTION

Although the following discloses example methods, apparatus, systems,and articles of manufacture including, among other components, firmwareand/or software executed on hardware, it should be noted that suchmethods, apparatus, systems, and/or articles of manufacture are merelyillustrative and should not be considered as limiting. For example, itis contemplated that any or all of these firmware, hardware, and/orsoftware components could be embodied exclusively in hardware,exclusively in software, exclusively in firmware, or in any combinationof hardware, software, and/or firmware. Accordingly, while the followingdescribes example methods, apparatus, systems, and/or articles ofmanufacture, the examples provided are not the only way(s) to implementsuch methods, apparatus, systems, and/or articles of manufacture.

Entities of healthcare enterprises operate according to a plurality ofclinical workflows. Clinical workflows are typically defined to includeone or more steps or actions to be taken in response to one or moreevents and/or according to a schedule. Events may include receiving ahealthcare message associated with one or more aspects of a clinicalrecord, opening a record(s) for new patient(s), receiving a transferredpatient, and/or any other instance and/or situation that requires ordictates responsive action or processing. The actions or steps of aclinical workflow may include placing an order for one or more clinicaltests, scheduling a procedure, requesting certain information tosupplement a received healthcare record, retrieving additionalinformation associated with a patient, providing instructions to apatient and/or a healthcare practitioner associated with the treatmentof the patient, and/or any other action useful in processing healthcareinformation. The defined clinical workflows can include manual actionsor steps to be taken by, for example, an administrator or practitioner,electronic actions or steps to be taken by a system or device, and/or acombination of manual and electronic action(s) or step(s). While oneentity of a healthcare enterprise may define a clinical workflow for acertain event in a first manner, a second entity of the healthcareenterprise may define a clinical workflow of that event in a second,different manner. In other words, different healthcare entities maytreat or respond to the same event or circumstance in differentfashions. Differences in workflow approaches may arise from varyingpreferences, capabilities, requirements or obligations, standards,protocols, etc. among the different healthcare entities.

However, the entities of a healthcare enterprise and/or entities fromseparate healthcare enterprises sometimes operate within a broader,interdependent information system, which hinder the ability of entitiesto customize clinical workflows. For example, the information system towhich a healthcare entity belongs may place restrictions on changes toworkflow applications or programs. Moreover, because some healthcareentities operate using systems, programs, devices, etc. from varyingmanufacturers, software providers, etc., a lack of interoperabilitybetween the systems, programs, devices, etc. of each healthcare entityprohibits many customizations from realization. As a consequence ofthese example factors as well as additional or alternative factors,healthcare entities that desire customized clinical workflows aretypically required to request such customizations from themanufacturers, software providers, etc. Furthermore, for suchcustomizations to implemented or integrated into a healthcareinformation system, a wide range of system-interrupting updates orre-releases occur within the information systems.

Certain examples provide a clinical knowledge platform that enableshealthcare institutions to improve performance, reduce cost, touch morepeople, and deliver better quality globally. In certain examples, theclinical knowledge platform enables healthcare delivery organizations toimprove performance against their quality targets, resulting in betterpatient care at a low, appropriate cost.

Certain examples facilitate better control over data. For example,certain example systems and methods enable care providers to accessreal-time patient information from existing healthcare informationtechnology (IT) systems together in one location and compare thisinformation against evidence-based best practices.

Certain examples facilitate better control over process. For example,certain example systems and methods provide condition- and role-specificpatient views enable a user to prioritize and coordinate care effortswith an institution's agreed upon practice standards and to moreeffectively apply resources.

Certain examples facilitate better control over outcomes. For example,certain example systems and methods provide patient dashboards thathighlight variations from desired practice standards and enable careproviders to identify most critical measures within the context ofperformance-based care.

Certain examples leverage existing IT investments to standardize andcentralize data across an organization. In certain examples, thisincludes accessing multiple systems from a single location, whileallowing greater data consistency across the systems and users.

In certain examples, an advanced Service-Oriented Architecture (SOA)with a modern technology stack helps provide robust interoperability,reliability, and performance. The example SOA includes a three-foldinteroperability strategy including a central repository (e.g., acentral repository built from Health Level Seven (HL7) transactions),services for working in federated environments, and visual integrationwith third-party applications. Certain examples provide portable contentenabling plug 'n play content exchange among healthcare organizations. Astandardized vocabulary using common standards (e.g., LOINC, SNOMED CT,RxNorm, FDB, ICD-9, ICD-10, etc.) is used for interoperability, forexample. Certain examples provide an intuitive user interface to helpminimize end-user training. Certain examples facilitate user-initiatedlaunching of third-party applications directly from a desktop interfaceto help provide a seamless workflow by sharing user, patient, and/orother contexts. Certain examples provide real-time (or at leastsubstantially real time assuming some system delay) patient data fromone or more IT systems and facilitate comparison(s) againstevidence-based best practices. Certain examples provide one or moredashboards for specific sets of patients. Dashboard(s) can be based oncondition, role, and/or other criteria to indicate variation(s) from adesired practice, for example.

Generally, the example methods, apparatus, systems, and/or articles ofmanufacture disclosed herein enable healthcare entities of an enterpriseclinical information system (ECIS) to dynamically customize one or moreclinical workflows. Among other functions and/or benefits, the ECISsupports healthcare practitioners in decision making processes byaggregating healthcare information across disparate enterprises and/orentities thereof and referencing collection(s) of data (e.g.,guidelines, recommendations related treatment and/or diagnosis, studies,histories, etc.) to automatically generate supportive information to becommunicated to one or more healthcare practitioners related to theaggregated healthcare information. While each entity operates inconnection with the ECIS that is administered by a provider thereof, theexamples disclosed herein enable each entity of operating in connectionwith the ECIS to originate and/or modify one or more clinical workflowswithout relying on the provider of the ECIS to do so on behalf of theentity. In other words, although a healthcare entity is part of the ECISand exchanges data with and via the ECIS, that entity can independentlycreate and/or manage its clinical workflows using the examples disclosedherein. Furthermore, the examples disclosed herein enable entities ofthe ECIS to deploy or initiate the customized workflows without havingto reboot or significantly interrupt the ECIS and/or the othercomponents, workflows, etc., thereof. The example methods, apparatus,systems, and/or articles of manufacture disclosed herein and theadvantages and/or benefits thereof are described in greater detail belowin connection with the figures.

FIG. 1 is a block diagram of an example healthcare environment 100 inwhich the example methods, apparatus, systems, and/or articles ofmanufacture disclosed herein for clinical content-based healthcare maybe implemented. The example healthcare environment 100 of FIG. 1includes a first hospital 102 having a plurality of entities operatingwithin and/or in association with the first hospital 102. In theillustrated example, the entities of the first hospital 102 include anoncology department 104, a cardiology department 106, an emergency roomsystem 108, a picture archiving and communication system (PACS) 110, aradiology information system (RIS) 112, and a laboratory informationsystem (LIS) 114. The oncology department 104 includes cancer-relatedhealthcare practitioners, staff and the devices or systems that supportoncology practices and treatments. Similarly, the cardiology department106 includes cardiology-related healthcare practitioners, staff and thedevices and/or systems that support cardiology practices and treatments.Notably, the example oncology department 104 of FIG. 1 has specificallydesigned clinical workflows to be executed in response to certain eventsand/or according to a schedule. At the same time, the example cardiologydepartment 106 of FIG. 1 has specifically designed clinical workflows tobe executed in response to certain events and/or according to a schedulethat differ from the clinical workflows of the example oncologydepartment 104 of FIG. 1. For example, the oncology department 104 mayexecute a first set of actions in response to receiving a HealthcareLevel 7 (HL7) admission-discharge-transfer (ADT) message, while thecardiology department 106 executes a second set of actions differentfrom the first set of actions in response to receiving a HL7 ADTmessage. Such differences may also exist between the emergency room 108,the PACS 110, the RIS 112 and/or the accounting services 114.

Briefly, the emergency room system 108 manages information related tothe emergency care of patients presenting at an emergency room of thehospital 102, such as admission information, observations from emergencyexaminations of patients, treatments provided in the emergency roomsetting, etc. The PACS 110 stores medical images (e.g., x-rays, scans,three-dimensional renderings, etc.) as, for example, digital images in adatabase or registry. Images are stored in the PACS 110 by healthcarepractitioners (e.g., imaging technicians, physicians, radiologists)after a medical imaging of a patient and/or are automaticallytransmitted from medical imaging devices to the PACS 110 for storage.The RIS 112 stores data related to radiology practices such as, forexample, radiology reports, messages, warnings, alerts, patientscheduling information, patient demographic data, patient trackinginformation, and/or physician and patient status monitors, as well asenables exam order entry (e.g., ordering an x-ray of a patient) andimage and film tracking (e.g., tracking identities of one or more peoplethat have checked out a film). The lab information system 114 storesclinical information such as lab results, test scheduling information,corresponding practitioner(s), and/or other information related to theoperation(s) of one or more labs at the corresponding healthcarefacility. While example types of information are described above asbeing stored in certain elements of the hospital 102, different types ofhealthcare data may be stored in one or more of the entities 104-114, asthe entities 104-114 and the information listed above is included hereinas non-limiting examples. Further, the information stored in entities104-114 may overlap and/or be combined into one or more of the entities104-114. Each of the example entities 104-114 of FIG. 1 interacts withan electronic medical record (EMR) system 116. Generally, the EMR 116stores electronic copies of healthcare records associated with, forexample, the hospital 102 and the entities 104-114 thereof.

The example healthcare environment 100 of FIG. 1 also includes anoutpatient clinic 118 as an example of another healthcare enterprise.The example outpatient clinic 118 of FIG. 1 includes a lab informationsystem 120 and a PACS 122 that operate similarly to the correspondingentities of the example hospital 102. The lab information system 120 andthe PACS 122 of the example outpatient clinic 118 operate according tospecifically designed clinical workflows that differ between each otherand the clinical workflows of the entities 104-114 of the hospital 102.Thus, differences in clinical workflows can exist between the entitiesof a healthcare enterprise and between healthcare enterprises ingeneral.

In the illustrated example of FIG. 1, the hospital 102 and theoutpatient clinic 118 are in communication with an ECIS 124 via anetwork 126, which may be implemented by, for example, a wireless orwired Wide Area Network (WAN) such as a private network or the Internet,an intranet, a virtual private network, a wired or wireless Local AreaNetwork, etc. More generally, any of the coupling(s) described hereinmay be via a network. Additionally or alternatively, the examplehospital 102 and/or the example outpatient clinic 118 are incommunication with the example ECIS 124 via direct or dedicatedtransmission mediums 128 and 130.

Generally, the ECIS 124 supports healthcare information processingimplemented by systems, devices, applications, etc. of healthcareenterprises, such as the hospital 102 and the outpatient clinic 118. TheECIS 124 is capable of processing healthcare messages from differententities of healthcare enterprises (e.g., the entities 104-114 of thehospital 102) that may generate, process and/or transmit the healthcaremessages differently and/or using different formats, protocols,policies, terminology, etc. when generating, processing, and/ortransmitting the healthcare messages. Moreover, the example ECIS 124 ofFIG. 1 supports healthcare practitioners in decision making processes byaggregating healthcare information across disparate enterprises and/orentities thereof and referencing collection(s) of data to automaticallygenerate suggestive and/or definitive data for communication to one ormore healthcare practitioners related to the aggregated healthcareinformation.

Certain examples provide a library of standardized clinical content andproven best practices. Over time, this “library” of content may expandas healthcare organizations add to their own content modules. Becausethe content is standardized it can be shared and leveraged amongorganizations using the library and associated clinical knowledgeplatform. The library and platform help enable organizations to sharebest practice content. Thus, certain examples provide a clinicalknowledge platform that enables healthcare delivery organizations toimprove performance against their quality targets.

In certain examples, a quality dashboard application enables creation ofone or more dashboards based on the data/content most relevant to anorganization at a given period of time. A clinical knowledge platformbrings together real-time patient data from existing IT systems withinan organization and allows for the comparison of this data againstevidence-based best practices. The example quality dashboard applicationleverages the platform to enable personalized “Quality Dashboards” to becreated for specific sets of patients, based on condition, role, and/orother criteria. Variations from desired practice will be highlighted oneach dashboard, enabling care providers to ensure better clinicaloutcomes and enrich patient care.

In this example, the clinical knowledge platform aggregates data from anorganization's existing IT solutions. These can be solutions from thesame and/or different manufacturer and/or provider. For example, as longas there is an HL7 or Web Services feed, the clinical knowledge platformcan utilize the data from an existing solution. The existing ITsolution(s) will continue to operate as they always have, and anorganization can continue to use these solutions separate from theclinical knowledge platform if they so desire. However, the clinicalknowledge platform and associated application(s) and/or workflow(s) canhelp to put organizations in greater control of their data byaggregating as much data from disparate IT solutions as possible. FIG. 2illustrates an example clinical knowledge system 200 providing anaggregation 210 of data from multiple sources. Aggregated data mayinclude, for example, medication orders, radiology reports,microbiology, admit/discharge/transfer (ADT) message, lab results,specific observations, electronic medical record (EMR) data, etc.

As the different data sources are pulled into a central data repository,content standardization occurs. It is this “standardization” thatenables content from different IT sources to be used together. Forexample, as shown in FIG. 2, an interface 220 provides terminologymapping and standardization to the aggregated data.

After the content is standardized, clinical decision support mechanismscan be tied to the content (as illustrated, for example, by the clinicaldecision support 230 of the system 200 of FIG. 2). The data andassociated clinical decision support are then stored in a clinical datarepository (CDR), such as CDR 240 of the example system 200. Bycombining the aggregated and standardized data with clinical decisionsupport rules and alerts, the clinical knowledge platform may provideend-users with an understanding of important elements to which theyshould pay attention (and take action on) within the larger set of datathey are considering when caring for a patient.

Combined data and clinical decision support mechanisms create valuablecontent that, when arranged properly, may be used to improve the qualityof care provided. Organizations can elect to use the application(s) thatare provided as a part of the example clinical knowledge platform and/ormay choose to build their own clinical application(s) on the platform.The open architecture nature of the platform empowers organizations tobuild their own vision, rather than base their vision on the static/hardcoded nature of traditional IT solutions.

In certain examples, “Quality Dashboards” created via an exampleapplication display data via columns and rows in addition to individualpatient “inspector” views. For example, the system 200 shown in FIG. 2provides one or quality dashboards 250 to be created and personalized byan end user. The flexible nature of this dashboard application empowersorganizations to create dashboards of the aggregated data based on theirneeds at a given period of time. The organization may determine whatdata elements they would like to include on each dashboard and, withoutsignificant IT resources, create a dashboard that reflects their vision.In addition, organizations can determine where on the dashboard theywould like the information to be displayed and further adjust the viewof the content via features such as “bolding” font, etc. When data isadded to each dashboard, clinical decision support mechanisms attachedto this data are displayed on the dashboard as well. For example,content related to treating a patient based on a particular use case maybe included on a quality dashboard, along with alerts and notificationsto indicate to end-users when desired outcomes are varying from definedclinical standards. Thus, organizations can create dashboards based ontheir own idea of “best practice” care for a given disease state.

In certain examples, since combined content and best practices have beenstandardized, content from one organization using the clinical knowledgeplatform may be easily shared with other organizations utilizing theplatform. In addition, because the content within platform-relatedapplications is standardized in the same manner, upgrades/updates to theexample platform can occur efficiently across organizations. Thatrepresents a dramatic change from prior IT solutions which requireunique IT upgrades because they are usually uniquely customized to eachorganization in which they are installed.

Generally, content is information and experience that may provide valuefor an audience. Any medium, such as the Internet, television, and audioCDs, may deliver content as value-adding components. To analogize toconsumer media to illustrate an example relationship, content representsthe deliverable, such as a DVD movie, as opposed to the deliverymechanism, a DVD player. As long as content conforms to the mediastandard, any compatible device can play it.

Content, as used herein, is the externalization or parameterization of“the instructions” that tell applications how to work. For example,content is a collection of externalized information that tells software,in conjunction with data, how to behave. In certain examples, a clinicalknowledge platform takes in and executes content against data to renderapplications visually and behaviorally.

Content includes data read and interpreted by a program to define ormodify presentation, behavior, and/or semantics of the program and/or ofapplication data consumed by the program, for example. Content includesdocuments presented to a client by a program without modification, forexample. Content may be created, stored, deployed, and/or retrievedindependently of the creation and deployment of the program(s) consumingthe data, for example. Content may be versionable to capture desiredvariation in program behavior and/or semantics, for example.

Classes of content may include configuration content, preferencescontent, reference content, application content, etc. Content types maycombine behaviors of two or more classes, for example.

Software vendors take many different approaches to customization. At oneextreme, some vendors write different software for each customer orallow customers to write software. At the other extreme, a vendor hasthe same software for each customer, and all customization occursthrough creating or modifying content. In certain examples, the samesoftware may be used for each customer, and customization is handledthrough content.

In healthcare, new laboratory tests, medications, and even diseases areconstantly being discovered and introduced. Structuring this as content,where underlying software does not need to change, helps accommodate anduse updated information.

In certain examples, many different content types, such as formdefinitions, data models, database schema, etc., are accommodated. Incertain examples, each content type may be used differently and involvea distinct authoring tool. Thus, in certain examples, content may referto “a collection of the content instances for all content types,” alsocalled a content repository, knowledge repository, or knowledge assets.For example, a content instance is a specific member of a content type,such as a heart rate data model.

In certain examples, each content type is associated with a generic,extensible structure that content instances of the content type follows.An example clinical information system can specify content in anabstract way that does not presuppose a particular softwareimplementation, for example. That is, another system, such as GE'sCentricity® Enterprise, may consume content from a knowledge repository,apply a different set of software, and achieve the same behaviors.Additionally, an abstract content definition can more easily transitionto a new system. If one can extract content from a legacy system, aknowledge repository may be able to import and reuse it. Such acapability helps reduce a large barrier to change for potentialcustomers.

Content can change with time. In an example, a current knowledgerepository can handle any “old” data entered into a system under theauspices of an older knowledge repository. Occasionally, a question mayarise where someone could ask, “What did Dr. Smith see at some pasttime?” Under these circumstances, a current definition of a particulardisplay may not correctly reflect the situation at the time. An exampleCIS, unlike other systems, can bring back the old form for visualizingthe data since all knowledge assets are versioned and retained.

Content may need to vary for different circumstances. For example, anMPV may differ between emergency department (ED) and labor and deliverysettings. Each MPV has rows and columns of data specific to its setting.Context refers to being aware of and reacting distinctively to alocation and other situational differences. For example, interpretationof a patient's low temperature can vary based on location. If it occursin the recovery room after cardiopulmonary bypass with deliberatepatient cooling, it means one thing. If the patient is in the ED afterbreaking through ice into a lake, it means something completelydifferent. Context may vary based on user location, patient location,user role, and/or various other factors. In certain examples, contentmay be applied based on context.

Globalization is a process of adapting software so that it has nolanguage references, before embedding capabilities to make it suitablefor particular languages, regions, or countries. Having globalized it, aCIS may then translate it to other languages and cultures, calledlocalization. Globalizing a software product involves creating contentseparate from the software. For example, embedded text (e.g., usermessages), sort orders, radix characters, units of measure, dataformats, currency, etc., may be removed and parameterized. References tolanguages, character sets, and fonts may also be removed, for example.In certain examples, while display representations may be local,terminology concepts are applied universally, making a rule,calculation, or other content based on one or more terminology conceptsuseable worldwide without modification.

For example, FIG. 3 illustrates an example interdependence of contenttypes. As shown in the example of FIG. 3, content is a set ofinterdependent building blocks. Content may be thought of as ahierarchy, with terminology 310 (e.g., names of lab tests) as a lowestlevel. Terminology 310 may be common and coded across a customer base.Clinical element models (CEMs) 320 govern structure and content ofobjects stored in a database and used by applications. A formlet 330provides a way to display a particular content item (e.g., a way todisplay a particular lab result). A form definition 340 provides anapplication or view (e.g., a dashboard) of a collection of formlets(e.g., a multi-patient view (MPV) showing one or more lab results and/orother information). For example, if a particular MPV definition is movedfrom one customer to another, the MPV definition along with othercontent items on which the form definition depends are imported into thenew customer's knowledge repository. Content items may includeappropriate formlets, CEMs, and terminology, for example.

In certain examples, a detailed clinical model defines, at a granularlevel, the structure and content of a data element. For example, thedetailed Clinical Model for “Heart Rate Measurement” dictates the datatype of a heart rate measurement, and the valid physiologic range of aheart rate. It says that a “body location” is valid qualifyinginformation about a heart rate measurement, but a “color” is not. Itfurther decrees that the valid values for “body location” areterminology codes found in the “heart rate body location” value set.Moreover, it prescribes that a “resting heart rate” is an instance of“Heart Rate Measurement” where the value of “temporal context” is“resting”, where “resting” is also a coded value. A detailed clinicalmodel pulls the information together into a single, explicit, andcomputable form. The detailed clinical models or clinical element models(CEMs) govern the content and structure of all data objects stored in anexample clinical database and used by applications, for example. Inaddition, CEMs are extensible, such that content authors may add newCEMs or attributes to existing CEMs without requiring major changes todatabase structures or software, for example.

In certain examples, shared or portable content is, in effect, “plug 'nplay”. System administrators can add it (e.g., plug it into) to a systemwithout any software changes, and the content behaves in the intendedway and does not cause errors. The size or scope of shared content canrange from a single term to an entire knowledge repository, for example.Shared content fundamentally changes an implementation paradigm andreduces a total system cost of ownership, for example.

Customers can change shared content. Customers can improve it or make itmore suitable for their institutions. When customers do this, they leavethe original definition intact, but clone it and keep their changedversion in their “local” space, for example.

As described above, classes of content may include configurationcontent, preferences content, reference content, application content,etc. Configuration content is content that is modified infrequently andis concerned primarily with system behavior, for example. Examples ofconfiguration content may include internet protocol (IP) address andport of clinical knowledge database, identifiers of terminals insystems, security access privileges, configuration files, etc.Configuration content may affect program semantics, for example.Configuration content is generally modified by system administrators andis often stored in the file system, for example.

Preference content is modified frequently and is concerned primarilywith variation between users. Examples of preference content includedisplay colors and fonts, default search parameters, screen layout, etc.Preference content rarely affects program semantics and is most commonlymodified by individual users. While modified by users, the systemgenerally distributes initial or default preference content.

In certain examples, distributed or default preference content behavesvery similar to application content before modification by a user.Preference content may be context sensitive, transformed at deployment,etc. Preference content may include vocabulary concepts and pick-liststhat are resolved when loading and retrieving just like other contenttypes.

Reference content is documents that are presented without modificationas part of the application. Reference content is often stored in formatsthat are opaque to a program (e.g., as a PDF, a Microsoft Word™document, etc.). Reference content is generally not specific to orcustomized for a specific patient (e.g., instruction sheets, informationsheets, policies and procedures, etc.). Reference content may beindependent of program semantics and behavior. Reference content may beauthored independently of a program. While not an element of a contentdrive system per se, reference content is often managed as content by aclinical knowledge system. Once reference content is modified forpresentation to a specific user, the content starts behaving much morelike patient data/documents. Reference content with the structure toenable modification starts behaving much more like application content.

Application content may be modified frequently or infrequently dependingon use. Application content may be concerned primarily with applicationbehavior and semantics. Applicant content may be generally specific toan application domain. Examples may include a flow sheet template,clinical element models, terminology, document templates that aremodified and stored as patient data (e.g., hot text), etc. Terminologyis application content but has behaviors distinct from other applicationcontent types and is managed (largely) independently of otherapplication content, for example. Application data often affects programsemantics and behavior. Application content may be authored at multiplelevels in an organization or external to the organization, for example.

Application content may be implemented as a custom markup language, forexample. Application content may be implemented as a domain specificlanguage (DSL), for example. For example, data queries may beimplemented using a frame definition language (FDL). Clinical elementmodels may be implemented using a constraint definition language (CDL).Application content may be directly authored or imported as data into acontent store (e.g., concepts in a vocabulary server), for example.

In certain examples, while patient data is transactional and oftenincludes discrete data elements, application content is oftenstructured, complex objects and often has associated metadata. Incertain examples, metadata is data used to manage content, such ascontent identifier, version, name of author, access privilege,encryption certificate, etc. Metadata is not treated as content, forexample. While patient data is owned by a patient and is part of a legalrecord, application content is not owned by a patient and is not part ofa legal record. Application content may be published (e.g., is nottransactional) and managed using a lifecycle.

Certain examples provide content-driven systems and processes that relyprimarily on content to determine application behavior. An examplesystem includes a reference platform that consumes, interprets, and/orexecutes content while remaining application neutral. An example systemuses content that remains independent of an implementation of thereference platform to allow independent evolution of the platform andthe application.

FIG. 4 illustrates an example hierarchy 400 of content, associated datamodels, and terminology. In certain examples, once one chooses contentbased data models, content-based queries and data management are alsoselected. Content based applications are also chosen. An integralterminology basis includes semantics of data defined in terminologycontent, for example. As shown in the example of FIG. 4, applicationdefinition content 410 (e.g., MPV templates, form(let) definitions,interface mappings, and/or document templates, etc.) relies on datamanagement content (e.g., frames) 420 (e.g., data query definitions,data update definitions, and/or data transformations, etc.). The datamanagement content 420 leverages data models (e.g., CEMs) 430, such asclinical data organization (e.g., structure) and/or coded clinical data,etc. The data models 430 are constructed based on a terminology 440including clinical concepts and relationships between concepts, forexample.

In certain examples, context refers to metadata attributes and/or labelsthat differentiate variations of a content item. For example, eachvariant of content item may be referred to as a context variant. Eachvariation of a content item has a specific set of context attributes(e.g., language, location, role, etc.). An algorithm or heuristic mayselect a desired variant when retrieving based on a current user's“context.” This process may be referred to as context resolution.

Searching refers to examining the content item and/or associatedmetadata for matches independent of context. Searching can includecontext attributes to filter for specific context variants in thesearch. The difference is that a specific variant is not selectedalgorithmically or heuristically by the content system when searching.Using the “user” as a context attribute is one way to associate acontent item with a specific user; similarly provider as a contextvariable could be used to associate an item with a group of users.Resolving context generally requires some heuristic to resolve ambiguityor conflicts among context variants (e.g., weighting or priorityschemes, default rules, etc.). This leads to some ambiguity sincechanging/adding a context variant or changing the weights of contextattribute may change the context resolution on another item in notalways obvious ways (at least to a user).

In certain examples, a content item includes:

1. A root content item represented by a universally unique identifier(UUID). The root content item includes metadata only; no actual contentis stored.

2. One or more context variants that represent variations of animplementation of the content item in different client contexts occur aschildren of the root content item.

3. Context variants may form trees of increasing context specialization(e.g., a context variant may have child variants).

4. Each context variant has a unique UUID as well as a relation to theroot content item.

5. Each context variant maintains versions of that variant as changesare applied to the variant.

As shown in the example of FIG. 5, a root content item 510 has one ormore content variants 520-522. Each content variant 520-522 may beassociated with one or more context variants 530-531.

FIG. 6 provides an example multi-patient view (MPV) 600 made up of aplurality of formlets 610-614 and a frameset 640. Each formlet 610-614corresponds to a concept 620-624 and a model 630-634. The frameset 640is also associated with each model 630-634, and each model 630-634 isassociated with a concept 650-654, for example.

In certain examples, content may be stored in multiple content stores.For example, content may be stored in an ECIS database, an XDSrepository, a third-party system, etc. Content documents in storage maybe identified by a URI that specifies the content store and the key ofthat item in that content store. A content directory including thecontent metadata may be searched to obtain the URI for retrieval of thecontent item. A content type manager may specialize the search, storage,and/or retrieval of items of that content type, for example.

A content item in the content directory is keyed via a UUID for theitem. That UUID is not necessarily part of the uniform resourceindicator (URI) that defines the storage location.

In certain examples, content items may be organized as a content type. Acontent type is a set of content items that are defined and managedusing common definitions and methodologies (e.g., terminology, clinicalelement models, frameset definitions, etc.). Content types may havedifferent behaviors, states, lifecycles, etc. Each content type may bemanaged by a specific content type manager, which is treated as aplug-in to a clinical knowledge platform and/or associated clinicalinformation system, for example. Content types may be added by creatinga new content type manager, for example.

Content type managers may interact with a content management frameworkby implementing a set of event handlers (e.g., package, deploy,retrieve, etc.). “Generic” content types (e.g., content types with nospecial behavior) may use a default content type manager. An owner of acontent type is responsible for implementing an associated content typemanager, for example.

In certain examples, during authoring (that is, before deployment),dependencies exist between content items. At runtime (that is, afterdeployment), dependencies exist between deployed forms of contextvariants. Dependents that exist during authoring may or may not continueafter deployment. For example, terminology description and pick-listresolution are translations during loading and retrieving, notdependencies per se.

In certain examples, at runtime, dependencies are between deployed formsof context variants, not the context variants themselves. The deployedform of a context variant is a “content frame”. At deployment time, itmay be necessary to guarantee that the packages (e.g., terminology) thata package depends on are also deployed. Terminology dependencies may beinferred from terminology relationships and mappings and do not need tobe explicitly tracked.

In certain examples, a content based system provides a capability todistribute content and content updates to external instances (e.g., testsystems, quality assurance systems, customer installations, contentpatches (e.g., SPRS), etc.). An example distribution system provides acapability to distribute content items and associated dependent contentitems and/or insure that those content items already exist in the targetsystem. For example, an FDL content item must have access to theclinical element types it references in order to process a frame query.The example distribution system may also facilitate an undo or reversalof installed content items that generate issues. Content may bedistributed as large sets of items (e.g., during installation) and/or asindividual items (e.g., bug fixes), for example.

FIG. 7 illustrates an example content management process 700. Theexample process 700 includes authoring 710, packaging 720, exporting730, importing 740, deploying 750, loading 760, and retrieving 770.

Authoring 710 includes a process of creating and/or modifying a contentitem. Authoring may be done by an author composing content directlyusing an editor (e.g., CDL, FLD, etc.), for example. Authoring may bedone using tools (e.g., editor(s), etc.) that are specific to acontent-type (e.g., terminology), for example. Authoring may be done bytools within the application(s) consuming a content type (e.g., MPV,forms, etc.), for example. Authoring may be done by applicationsgenerating a content item (e.g., MPV generating FDL), for example. Incertain examples, there is no single authoring environment for content;rather, there is a family of authoring tools that is often content typespecific.

Packaging 720 includes combining all content items and (applicable)context variants within a transitive closure of dependency graphs of oneor more content items into a package, for example. Packages may includemultiple independent top level content items, for example. Packages mayhave dependency(-ies) on other package(s). For example, a packagecontaining a frameset content item may dependent on a separateterminology package as a prerequisite to deployment.

Packages may very frequently contain multiple independent, top levelitems each with its associated dependency graph. A package may notinclude all context variants of an item. For example, packaging mayfilter based on context to form a package. Packaging events may includean event to allow a content type manager to specify dependencies of anitem being packaged.

Packages may have dependencies on content types other than contentpackages. For example, a terminology package is a different content typethan a content package. Content items within a package may not haveexplicit dependencies on terminology concepts. Rather, the package hasdependencies on the appropriate terminology packages.

In certain examples, packages are used as a distribution mechanism.Packages may be deployed before items in the package are available to aruntime system, for example. Packages themselves may be treated ascontent items. Thus, packages can themselves be packaged (e.g., packagesof packages), and packages may be dependent on other packages. Incertain examples, packages may belong a namespace or domain. Forexample, packages may only include items from a single namespace.Packages may have dependencies on packages in another namespace, forexample.

Package(s) may be exported 730 from one system and imported 740 intoanother. Exported packages may be used to distribute content, forexample. System management tool(s) may be provided to create, export,import, and deploy content packages, for example.

Deploying 750 includes making content items included within a packageavailable to a running system. A content item may be transforming duringdeployment, for example. For example, constraint definition language(CDL) models may be compiled and may create multiple type objects eachwith an associated schema. As shown in the deployment example of FIG. 8,a plurality of models 810 in a content package 815 are deployed 820 tocreate a content frame 830 including plurality of type objects 835 withassociated XML schema.

In certain examples, each top level content item in a package beingdeployed is deployed independently. A deployed content item is logically(and often physically) a different object than the content item beingdeployed. For example, a deployed content item has independent state andlifecycle. Multiple content items may be created during deployment, forexample. For example, deploying a CDL model may generate a CE typeobject and an XML schema. In certain examples, a source content item maynot exist in the runtime system. For example, the source CDL models arenot employed, and the generated CE type object is deployed. Deploymentof a package may be done manually and/or implicitly by an authoringtool, for example. For example, system administrators may wish toexplicitly control deployment of data models but MPVs authored by a usermay be implicitly and immediately deployed.

In certain examples, each deployed content item is bundled with all ofthe content items that are used to execute and/or consume the item. Thebundle is referred to as a content frame 830. A content frame 830 isanalogous to an archive file manifest. It may not (necessarily) containthe actual content items. The content frame 830 may not include all ofthe items generated during deployment. For example, the CDL schemas maynot be part of the frame.

A content frame 830 is also analogous to a context variant. The framehas its own unique identifier but may be retrieved using the identifierof the root content item the frame is based upon in the same way thatcontext variants are retrieved. Deployment events may include an eventto allow the content type manager to specify dependencies of thedeployed item(s) within the content frame, for example.

In certain examples, context resolution refers to conditioningselection, composition, and/or behavior of a content item based on acontext of a user. Context resolution may occur at one or more levels.For example, context resolution may occur on selection of the contentitem(s) that a content item being deployed is dependent upon based oncontext. Such resolution occurs during deployment, and content framesare context specific with dependencies resolved. Context resolution mayoccur on selection of a content frame based on context when the contentframe is retrieved by an application, for example. Context resolutionmay occur on translation of a content item based on context when loadingand/or retrieving a content frame, for example. For example, contextresolution may occur upon retrieval of terminology concept designationsand/or retrieval and population of pick-lists.

Translation may be performed by the content type manager during loadingand/or retrieval, for example. A template tool such as Apache Velocitymay be used to implement the translation. The sensitivity of a contentitem to changes in the terminology server is a function of when thetranslation is applied e.g., during deployment, loading, or retrieval),for example. During deployment, context may be usedalgorithmically/heuristically to select dependent items and/or thedeployment tool may specify the required dependent items. In general,context resolution is done heuristically (e.g., scoring and weightingschemes) because of the difficulty in determining an unambiguousalgorithm to resolve conflicts. The content type manager may provide itsown mechanism for context resolution, for example.

In deployment 750, a content item may be a part of multiple contentframes. For example, multiple copies of a content item may be loaded byan application if it loads multiple content frames containing the item.Applications may search for and retrieve content frames. For example,content management may load and cache content frames. In certainexamples, authoring tools may retrieve content items directly. Runningapplications may retrieve content frames during execution, for example.

Context may be resolved while constructing a content frame. That is,selection of context variants on which the deployed content item isdependent is done during deployment, for example. Content frames maythus be context specific. During load and retrieve, context may be usedto select a content frame, not content items contained in the frame, forexample.

A content frame may itself be considered a content item. Thus, thecontent frame may be versioned, have associated metadata, etc. Since acontent frame is a content item, packages of frames may be constructedand distributed content frames without the associated source contentitems, for example. In certain examples, content frames may containcontent frames, allowing courser grained deploy and undeploy operations.In certain examples, optimizations to frame loading (e.g., loading asingle copy of a common content item) may be done, if desired, usingtechniques such as reference counting, etc.

In certain examples, content frames are related to a deployed rootcontent item in a fashion analogous to the relationship between contextvariants and the content item. For example, a content frame isidentified by the same UUID as the root content item in the frame andshares the same directory metadata. Each content frame may have its ownunique identifier that may be used as a reference. Each content framemay be context specific and may have multiple versions. In certainexamples, only deployed content items have associated content frames.Because of this relationship, content frames may be treated in adirectory as properties of a content item along with context variants,for example.

In certain examples, content may be undeployed. An undeploy is a processof a making a (deployed) content frame unavailable to a runninginstance, for example. However, data instances stored in a CDR may bedependent on the content frames used to create the data instances (e.g.,clinical element (CE) types). As a result, a content frame, oncedeployed, may not be physically deleted from the clinical content systemwithout compromising referential integrity, for example. Undeploy, then,may make a content frame invisible to subsequent searches and contextselection. Through undeploy, a previous version of a content frame maythen be once again visible to search and context selection, for example.In certain examples, an undeployed content item may still be directlyretrieved using the UUID for the content frame.

In certain examples, content item translation refers to modifying acontent item during loading and/or retrieval to make the content itemresponsive to changes in content items on which it is dependent withoutredeploying the content item. For example, terminology designations andpick-lists may change independently of the deployment of the contentitem. Content item translation may be a responsibility of a content typemanager responsible for a content item. For example, translations thatmake sense for one content type may not make sense for another contenttype. Content item translation may be context specific, for example.Content item translations may be performed by inserting custom macros ina content item (e.g., at authoring time) and applying a template tool toexecute the macro and perform the translation with the item isretrieved.

Content item translations may be fine-grained. For example, they do notchange the structure of the content item but replace elements (e.g.,labels, lists of labels, etc.) within the item. Course grainedmodification of content frames (such as re-resolving content items thatthe content item being retrieved is dependent upon at retrieval time)may be undesirable because they can lead to unpredictable changes toapplication appearance or behavior. Hence, these kinds of modificationare restricted to occurring at deployment time. In certain examples,common tools may be used to perform translation of content itemsrepresented in XML or HTML. Apache's Velocity is used here as an exampleonly. Dependencies for items that depend on translations may be managedby maintaining a content frame dependency on a content frame containingthe items to be translated (e.g., a terminology content frame) ratherthan by maintaining specific dependencies, for example.

Loading 760 is a process of retrieving a content frame containingdeployed content item(s) from storage and making the frame available foruse by running application(s). Content items in a content frame may betranslated during loading. For example, terminology designations may beresolved and/or pick-lists retrieved. A content frame may be cachedafter loading. Content items contained within a content frame may beloaded as a single operation, for example.

In certain examples, the choice of doing translation at retrieval timeor load time is up to the content type manager. Translating at load timemeans that the cost of translation is amortized over multiple uses ofthe item; translating at retrieve time means that the item is moresensitive to context variation and changes in resolved content. Aselection of translation time may be content type specific, for example.

Retrieving 770 includes fetching a loaded content frame by a consumingapplication. Content items within the content package may be translatedduring retrieval (e.g., resolving terminology designations, retrievingpick-lists, etc.). A loaded content package may be retrieved multipletimes by different clients, for example. An application may choose toreuse (e.g., cache) a retrieved content package at its discretion.Content items within a content frame may be loaded as a singleoperation, for example. In certain examples, since a content item may bepresent in different content packages, different instances of an itemmay be translated using different context. For example, an applicationmay show a content item in two different languages concurrently forcomparison.

A choice of doing translation at retrieval time or load time may be madeby the content type manager. Translating at load time means that thecost of translation is amortized over multiple uses of the item.Translating at retrieve time means that the item is more sensitive tocontext variation and changes in resolved content. A selection oftranslation time may be content type specific, for example.

In certain examples, content may be divided based on namespace. Anamespace is a partition of content items in a system where eachpartition is owned and managed independently of other partitions. FIG. 9provides an example of namespaces A, B, and C including various contentitems (CIs).

Namespaces may be motivated by various factors. For example, contentitems in one namespace may be protected from modification by anotherparty (for example, a customer modifying GE distributed and ownedcontent). Applying maintenance (e.g., updates, bug fixes, etc.) becomesdifficult, if not impossible, if a customer can modify GE distributedcontent (e.g., customer modified content may potentially be broken whenreplaced with an update). Alternatively or additionally, for example,customers may be allowed to add and extend distributed content in safeways while enforcing governance restrictions on such modification (e.g.,models may not be modified or extended, but MPVs may).

While some of these restrictions may be enforced by a security system,customers often set security policy, so another mechanism may be used toenforce such restrictions. Additionally, some rules such as inheritancerestrictions may not be adequately managed via security policy.

In certain examples, a simplified namespace model provides that eachcontent item in a system may be searched for using a single namespaceprecedence order. It is possible that different content types mayinvolve different search precedence (e.g., a search path to resolve datamodels may not be the same as a search path to resolve forms orreference content). Extensions to the model can be made based oncircumstances, for example.

In certain examples, namespaces may be “owned” by a provider, a customerinstitution, a department, etc. Such ownership separates providercontent from customer content, for example. Multi-tenancy and digitalrights management may be facilitated through the use of namespaces, forexample. In certain examples, only the owner of a namespace may createor modify content items within the namespace. An owner may own multiplenamespaces, for example. A clinical knowledge platform and/or associatedenterprise clinical information system may serve as an owner of a “root”namespace (and possible others), for example. Each customer installationmay be an owner of at least one namespace for that customer, forexample.

In certain examples, an “owner property” on a content item used as acontext attribute is also presented in some contexts as equivalent to anamespace. However, in context resolution, using an owner property theremay be no inherent precedence. For example, given a concept withdesignations potentially owned by A, B, and C, an application asks forthe designation owned by A but that designation does not exist. Does thesystem return designation B or designation C? In general, propertyprecedence in context resolution involves a heuristic to resolve (e.g.,weighting and scoring schemes).

Additionally, there may be necessary relationships between content itemsin namespaces. For example, specialization via inheritance, overridingcontent items in one namespace with the same item in another, copying anitem from one namespace to another (e.g., is it legal to do the copy?),etc. These behaviors may or may not be able to be implemented using anowner property (alone) in the general case.

Additionally, “owner” may be used in at least two different senses:first, as an intellectual property/digital rights management (IP/DRM)concept where it designates actual ownership (e.g., a package by “owner”is a practical application of this concept—package everything that isowned by an owner); second, as an attribute used to select adesired/appropriate context variant when retrieving a content item. Thissecond usage is more directly analogous to namespaces with the caveatsabove.

In certain examples, a difference between an owner context attribute anda namespace is that namespaces are known to and defined by a systemrather than defined independently for each content item in content(e.g., owners are generally terminology content). The system canestablish precedence, maintain persistent/immutable relationshipsbetween items in different namespaces without expectation that therelationships will change, for example. That is, “namespaces” may bepart of a reference implementation; owners are content defined and hencemay be interpreted by the reference implementation, for example.

In certain examples, namespaces have “precedence” when searchingretrieving, etc. For example, as shown in FIG. 9, a highest precedencenamespace C is first searched for a content item, then a second highest(e.g., namespace B), etc. Precedence may be established when configuringthe system or defining the name spaces, for example. Precedence may beoverridden when deploying a package.

In certain examples, relationships may exist between content items inone namespace and content items in a lower precedence namespace. Incertain examples, changing namespace precedence may change the nature ofa relationship.

In certain examples, a new content item may be created in a higherprecedence namespace by copying an item in a lower precedence namespace.For example, an MPV may be copied from base content, modified, and savedas a user-owned MPV. A content item may be created in a higherprecedence namespace that hides or replaces the same content item in alower precedence namespace, for example. For example, a new version of aformlet that hides the same formlet in base GE Qualibria® content tocustomize display of that formlet. Creating a new content item thatspecializes (e.g., inherits from) an existing content item may hide orreplace a base content item in a lower precedence namespace. Forexample, a new attribute may be added to a patient clinical elementmodel provided by Qualibria by specializing the Qualibria patient model.

In certain examples, namespace relationships are managed by a contentmanagement system. If a base content item is modified, a specializedcontent item may need to be redeployed. In certain examples,specialization of a content item in a namespace may be allowed inanother namespace but copying the content item may not be allowed. Statechanges in a base content item may involve state changes in aspecialized content item (e.g., if the base item is deprecated, thespecialized item may also require deprecation), for example. In certainexamples, digital rights management may prevent a copy of a content itemfrom being created. In certain examples, if a content item that wascopied to a new namespace is modified, an owner of the target namespacemay need to be notified of the change so the copy can be reviewed forchanges.

In certain examples, an owner attribute on a content item may beinsufficient to manage namespace relationships. Clinical element models(CEMs) are an example of a relationship restriction: copying and hidinga CEM can lead to data inconsistencies while specialization throughrestriction or extension can be safely done. Hiding an MPV on the otherhand, is generally a safe operation, for example. In certain examples,relationship management/enforcement is a responsibility of a contenttype manager (CTM), or at least the CTM should be able to specializesystem relationship management.

Namespaces may be used in a variety of stages of a process. For example,namespaces may be used during authoring. For example, namespaces may beused when resolving context variants, establishing relationships such ascopy, copy and hide, etc. Namespaces may be used during packaging, forexample. A package may include content items from a single namespace,for example. Context variants, relationships, etc., in other namespacesinvolve dependencies on packages in those namespaces, for example.Namespaces may be used during deployment (e.g., when resolving contextvariants, when establishing relationships such as inheritancerelationships, etc.), for example. In certain examples, namespaces arenot used during load and retrieve at runtime.

In certain examples, each context variant of a content item has acurrent “state”. For example, a state may include deployable, deployed,loaded, deprecated, etc. Each content type has a set of allowable statesand a set of allowable state transitions represented as a state machine.Content types may have different state machines in an authoringenvironment than in a runtime environment, for example. State machinesmay be owned by a content type manager since the manager defines ameaning of each state for a content type.

In certain examples, a state in a runtime system is actually the stateof the content frame. However, for simplicity, a state of the contentframe is assumed to be (and managed as) the state of the root contentitem. A state of content items included via dependency resolution may beirrelevant to the runtime system (e.g., it may be required that the rootcontent item of the content frame be redeployed to bubble up statechanges in that item).

In certain examples, lifecycle management refers to a set of workflowsthat manage transition of a content item from one state to another. Eachstate in a content type state machine is associated with a distinctworkflow that manages the content item when in that state, for example.In certain examples, workflows are content items to allow variationacross implementations.

FIG. 10 depicts an example of a state versus a workflow. As shown in theexample of FIG. 10, each state in a content item state machine 1010 hasan associated workflow 1020 that controls transition(s) to the nextstate(s).

In certain examples, governance refers to a set of policies that managelifecycles of each content type. Governance policies are implemented instate machines and associated workflows of a content type, for example.Governance may be an operational function, for example.

Certain examples provide a content-based clinical information systemincluding a stable reference platform that defines and executes the corecapabilities of the system and a set (e.g., one to many) of contentclasses (e.g., content based languages) that are implemented upon thereference platform and that independently define clinical informationfunctions. The content classes are specialized to allow implementationof narrowly defined clinical functions, for example, Defined clinicalfunctions can include data definition, data query, data transformation,data display, data entry, decision support rules, etc., for example.

In certain examples, clinical applications are created by composing oneor more content items (e.g., instances of a content class) from one ormore content classes. Each content item is authored or createdindependent from the creation of the reference platform. Content itemsand the reference platform can have independent life-cycles and evolveindependently over time, for example. Since content classes areindependent, support for additional content classes can be added as anupdate to the reference platform to extend core system capabilities, forexample.

Certain examples provide content and data, along with executablesoftware or code. In certain example, content includes data andexpressions/instructions concerning data. However, neither data norcontent is “software” as the term software is traditionally defined. Incertain examples, content is stored in a content database and isindependent of hard-coded libraries. Thus, clinicians do not need a newinstallation of software to change an application, such as amulti-patient view (MPV) dashboard. Other dashboard views can include arapid recovery dashboard, a hospital-acquired infections dashboard, etc.Content can be configured by a clinician, technician, and/or other userat a location without the platform provider's intervention. Clinicianscan author new MPVs on the fly, for example. In certain examples,content can be used to facilitate a query for data by a user and/orapplication.

FIG. 11 illustrates an example clinical information system 1100including a reference platform 1110 and one or more content items 1120that define clinical functionality (e.g., content-based applications).The example content-based clinical information system 100 of FIG. 11includes a reference platform 1110 having three major layers 1112, 1114,1116.

In the example system 1100 of FIG. 11, Reference Platform Services 1112provide foundation services to implement content class managers andinterpreters. The reference platform services 1112 are constructed usingstandard software development techniques and can be modified independentof content items implementing application functionality to enhanceavailable system functionality without impacting the applicationfunctionality, for example.

In the example system 1100 of FIG. 11, a Content Class Managers layer1114 implements management services for one or more content classes. Acontent class includes defined (e.g., a narrowly defined) domainspecific language that allows clinical personnel to define customprogrammatic elements (e.g., content items) that will be used whencomposing a clinical application (for example, clinical vocabularyconcepts, clinical data models, data queries, data transformations,display forms, etc.). An example Content Class Manager providescapability(-ies) to author content items of that content class. Theexample content class manager provides capability(-ies) to package thosecontent items for distribution, export and import the content items fromand to installations of the clinical information system, and deploy thecontent items to a running clinical information system (e.g., compile,translate, etc., the content item into an executable form). The examplecontent class manager provides capability (-ies) to load the contentitems into memory while performing context-based translation of thecontent item (e.g., resolve terminology designations, pick-lists, etc.),and to retrieve the content items for execution in an associated contentclass interpreter. While a running clinical application can includecontent items of different content classes, each content item isindependently managed by the content class manager associated with thecontent item.

In the example system 1100 of FIG. 11, a Content Class Interpreter layer1116 defines one or more interpreters (e.g., programs that consume acontent item and execute the instructions defined in the content item)for content items of each content class. Since an application is acomposition of content items, multiple content class interpreters canparticipate in the execution of the composed application(s). Contentclass interpreters consume a deployed (e.g., executable) form of thecontent item(s). Optimizations and/or other improvements to performanceof a content item interpreter can be implemented in conjunction with acontent class manager, for example.

Content Based Applications are composed of one or more content itemsthat are managed by content class managers and executed by content classinterpreters. A set of content items of which an application is composedare stored in a content repository and managed as a set ofinterdependent items. Content based applications are independent of thereference platform; that is content based applications can be changedwithout changes to the reference platform, and the reference platformmay be changed without changes to the content based applications (thoughcontent based applications may be changed to take advantage of newcapabilities in the reference platform), for example.

Since medical practices vary widely between different institutions (andeven within institutions or between patients) and change rapidly asmedical practices evolve, prior clinical information systems requireextensive customization to be deployed widely. Very frequently, thisdegree of customization can render ongoing maintenance (e.g., newreleases, error fixes, etc.) difficult or even impossible. Additionally,responsiveness to requests for customizations may be unacceptable to theinstitutions because of the difficulty in creating, testing,distributing, and managing the customizations.

Two common approaches to these issues may be found in existing products.First, the producer of the system tightly controls the software systemand controls/restricts the changes that can be made to the system,thereby severely restricting the ability of the software to becustomized to specific customer needs. Second, the producer of thesystem may allow extensive customization of the software wherein eachimplementation becomes essentially a custom system which limits themaintainability of the system.

Certain examples address these problems by separating the application,where customization generally occurs, from the system itself, wheremaintenance generally occurs. An example clinical information systemapplication is implemented in content, that is, as a set of contentitems that are created and maintained independently of the system, oftenby the customers of the system themselves. The reference platform (e.g.,the system) is maintained, enhanced, tested, and deployed by a vendor.Since the application (in content) is independent of the referenceplatform, the two can evolve largely independent of each other.Independent evolution allows a much greater degree of possiblecustomization without reducing the maintainability of the system, forexample.

Rather than basing content on a single general-purpose interpretedlanguage, certain examples implement a content based system as a set ofcontent languages. In certain examples, each content language isnarrowly focused and specialized to allow independent evolution,optimization, etc.

In certain examples, by separating applications from a referenceimplementation, independent evolution of the application and the systemcan be supported. In certain examples, application(s) can be authored bydomain specialists rather than by engineering. For example, terminologyand data can be modeled by informaticists; clinical forms can bedesigned by clinical teams; etc. In certain examples, functionality canbe added to the system incrementally by adding new content classes tothe system. Since content classes are narrowly focused for specifictasks, a risk of over-generalization is reduced or avoided, for example.Content classes can be independently evolved and improved/optimized, forexample.

In certain examples, clinical content includes structured knowledgecomponents such as decision support rules, protocols, reports, userpreferences (e.g., triage form layout, patient and/or departmentworklist format, etc.), and unstructured knowledge components such asdischarge instructions, guidelines, etc. Clinical information systems(CIS) that are content-driven provide functionality that improvesclinical outcomes by enhancing compliance withinstitutionally/nationally recognized standards of care and reducepractice variation. In certain examples, a new process has been definedto streamline clinical content management from its inception to itsconsumption by the CIS.

The example process allows for building of an infrastructure formanaging clinical content in a more efficient and more optimal manner.Using this clinical content management process, clinical contentmanagement is scalable and expressive, for example. When a CIS isintroduced into a new environment, lack of a standard process interfereswith resource planning, effort planning and estimating timelines, forexample. An example clinical content management infrastructure builtaround this process can help with the implementation effort byidentifying appropriate dependencies, breakdown tasks along with theirassociated resources, and help align priorities.

In an example, a small client is interested in going live with a coupleof clinical modules (e.g., a discharge module and a billing module). Aspart of these modules, using the example content-driven process,structured and unstructured clinical content can be authored, versioned,packaged, and tracked to ensure compatibility with future updates.Building on the example use case, if the client wants to add its ownlocal content, plug-n-play packagers and deployers are provided that areapplicable only to these two modules. If the client is happy with thetwo example modules and wants to go live with additional modules, theinfrastructure built around the process can scale up to identifypotential clinical content interdependencies, help eliminateredundancies, and bridge clinical application versions and clinicalcontent versions, for example.

In certain examples, the clinical content management infrastructure canbe integrated into a software lifecycle to eliminate separate iterationsand planning exercises. Integration can produce significant savings inplanning, effort, and execution time, for example.

In certain examples, during the content authoring and packagingprocesses, the infrastructure verifies and validates dependencies andhelps ensure content integrity, for example. The infrastructure easesthe process of versioning at the content and package level.

In certain examples, future updates can be automatically packaged aspatches that can be released internally and/or externally to clients ona pre-determined schedule. Patch releases can still maintain contentintegrity that can be described through a conformance statement, forexample.

In contrast, prior enterprise clinical information systems rely onad-hoc processes for clinical content management, wherein processes aremanually created on the fly by programmers on a case-by-case basis. Somesignificant impediments to the adoption of standards and coded content(e.g., structured/unstructured) in clinical information systems are highcosts associated with clinical content authoring. In addition, priortechniques resulted in uncertainty in managing dependencies betweencontent types, and uncertainty in creating predictable release cycles.

Thus, certain examples provide a clinical content management processthat is scalable, expressive, and semantically interoperable. Forexample, the process is scalable in that it can support core content asdetermined by an application's needs in addition to customer/competitorspecific content. For example, the process allows end users to consumecontent to support individual preferences at an enterprise level. Forexample, the process provides an infrastructure for clinical entities tocreate semantically interoperable systems to derive clinical, researchand business benefits thereof.

From a business standpoint, the example process enables modular contentpackages and pluggable deployment. This flexibility allows tailorablecontent to support different types of clients to augment a “surround andsupplement” strategy, where-in a small client with limited budget can golive with only couple of modules/content-deployers, whereas a largeenterprise customer might want a whole suite of content managementinfrastructure.

Certain examples define processes apriori to help ensure that structuredand unstructured clinical content development and management is morepredictable, measurable, efficient, and integrated into applicationlifecycle management. Current systems and/or processes for managingclinical content in content-driven systems are fraught withuncertainties such as in version compatibility, quality control, timelypackaging and delivery of content, updating knowledge bases, and smartdeployment.

Building a clinical application on an infrastructure as described hereinprovides significant benefits to a content management process such asmaking it scalable, expressive, supportive of standard(s), semanticallyinteroperable, and flexible.

In certain examples, content and infrastructure can be used to map orresolve concept identifiers into human-readable designations using aterminology.

Typically, when a computer system is designed for an industry orapplication, the system is designed to meet the needs for the mostcustomers in the industry as possible. Sometimes different customerswant to use the system in different ways. This can be solved by makingsystems that are configurable. There are cases were different individualusers or departments want their own configurations or preferences. Thisinvention improves the way a system stores and manages thesepreferences.

Some industries have adapted the way they do business to fit thecomputer system purchased. A distribution center might change the way itfills orders in order to fit the way the computer software wants ittracked. This does not work with clinical information systems. Differenthospitals vary greatly in how they provide health care and how they usetheir information systems. Different doctors also do things differently.It may be simple to train a store clerk the new way to fill orders, butit is difficult to ask a doctor to change the way they do things. It isnot reasonable for a health network to adapt to its chosen software, sothe software needs to adapt to the particular health network, region,hospital, department, and care provider.

One example of how a clinical information system might be configured isa patient admission screen. The software for the clinical informationsystem includes an admission screen for new patients. The admissionscreen includes a form associated with a workflow directing whichinformation to collect and when to collect it. The admission screen mayalso display other information about the patient or hospital to assistthe care provider during the admission process. While the systemincludes an admission screen that works well for many hospitals, it willnot have everything needed for every situation.

Different hospital networks may want to change the admission process tobe different from the one that is included by default with the software.In those cases, they will want to modify the admission process to fitthe needs of their network. Within the hospital network, there may be aregion that needs to modify their admission process. Within that region,there may be a hospital that needs to add a step in the admissionprocess specific to that hospital. There may even be a care provider whowishes to modify the way the admission form is laid out to fit a userspecific need.

These modifications are based on a context. The region, hospital,language, and user all help to define the context for the particularadmission process. The context is based on a hierarchy where thehospital depends on what regions it is in, and the user depends on whathospital it is in. For example, a user might customize their layout ofthe admission form one way when they are working at one hospital. Itmight need to be customized another way at a different hospital.

Traditionally, preferences are stored in a separate data store or storedlocally on a client workstation. The system retrieves the content andpreferences separately, and then the system alters the content based onthe preference. This requires the consumer of the content to be aware ofthe preference system and also requires the consumer to alter thecontent.

An example of a traditional preference application is an admissionsscreen for collecting new patient information. The system may want toallow users to choose if the form was displayed vertically orhorizontally. The form itself could be saved as content in a contentrepository. The system could save the preference, vertical orhorizontal, in the preference storage. The application would need toretrieve the form, and then it would need to read the preference for theuser and modify the form to appear the way the preference indicated.This requires the application to be programmed in a way that it knowswhat all the possible preference are, and it would have to know how tomodify the form to fit those preferences at runtime.

In certain examples, a clinical information system providesfunctionality for users to define what the preferences are based on eachhierarchical context as needed or desired. The CIS should then provide acorrect admission process for the context that exists at admission time.Certain examples provide an intelligent, preference-based content systemcapable of storing hierarchical-based preferences.

Certain examples store content for each preference separately. Aconsumer passes in a context when requesting content, and the contentfor those preference(s) is returned. There is no need for the consumerto analyze the preferences or alter the content. In the patientadmission example, an admission form is stored as content to be used bydefault in the application. If a care provider prefers to change theadmission form, the user specifies the desired change, and the systemstores that form as content in the content system. The new content isstored with context information that includes the specific user. Whenthe system retrieves the admission form, the system identifies that thecontext includes the specific user, and the content for that user isused. The content storage is aware of the context, but the consumer didnot need to know what the preference was and did not need to alter thecontent.

Language provides another example of how a preference can be stored ascontent. A patient discharge form can be stored by default in English.In a bilingual hospital, care providers may speak two languages, but apatient may only speak one language or the other. A second dischargeform can be stored as content with a context indicating that it is in asecond language different from a first language (e.g., a discharge formin Spanish and a discharge form in English). The patient's language isincluded as part of the context when retrieving the discharge form fromthe intelligent, preference-based content system. The application thendisplays the correct discharge form.

In certain examples, by storing preferences as content, preferences donot need a separate data store. Preferences can be assigned that areuser and/or patient specific. Preferences are stored as content, so aconsumer of the content does not need to have a knowledge of thepreference system. Preferences can follow a user across workstationsand/or be centrally managed, for example.

In certain examples, the system and associated software is flexible andconfigurable by end users. The flexibility and configurability shouldimprove adoption by and usefulness for clinicians, for example.Context-based preference configuration and storage can be provided aspart of an enterprise clinical information system, such as GE'sQualibria® system, for example.

Certain examples resolve multiple variants of a content item based onwho, what, and/or where the content consumer is. This allows consumersto create, specialize, and/or customize their own content on top ofvendor-released content (e.g., shareable and interoperable content).This allows for a single content type to vary by properties associatedwith the content consumer without the need to customize everyapplication that consumes that content to be aware of the rulesnecessary to vary the display of the content.

In clinical applications, there are often times that information anddata are to be displayed in different ways based on a context ofapplication use. A role of a clinician may impact what clinicalinformation he or she wants and/or needs to see and how he/she wants orneeds to see it. A location of a user may also impact a type ofinformation that is desired to be displayed based on clinical need,preference, etc. Clinical information may also be displayed in one ormore languages, especially for patients.

Resolution of context by an application allows appropriate informationto be displayed based on who, what, and/or where the user of theapplication is. This ability enables streamlined workflows and targeteddocumentation for clinical use. This also gives flexibility to customizecontent for specific use(s).

Previous attempts have included multiple modules in an application thatare developed for a specific role or location, thus allowing customersto configure and/or copy parts of an application in order to meetspecific context needs. This requires that all applications that usethis content also use this code, thus forcing re-deployment of theapplication. Also, externally developed applications would not be ableto take advantage of the rules applied to the context resolution. Thus,a single content item could be created that hides or shows parts basedon parameters passed in. This would require complex algorithms duringdisplay to parse the content and modify it based on parameters. It wouldalso have to be duplicated everywhere the content was used. Anotheroption is to provide different content items without context resolutionand have the consuming application select the correct content item basedon algorithms developed per application. Alternatively, a heuristicrules engine could be implemented that would preclude the need for acontext resolution algorithm as you could have several separate contentitems and have the rules engine determine which item would beappropriate to return.

FIG. 12 illustrates an example of runtime context resolution using aninput context 1210 and a pool of variants 1220. As shown in the exampleof FIG. 13, at 1310, conflicting variants are rejected. As shown in theexample of FIG. 14, at 1410, more specific context variants arerejected. As shown in the example of FIG. 15, at 1510, of the remainingvariants, a most specific variant to the input context is accepted toresolve the input context into a context variant. FIGS. 16-18 provideanother example of runtime context resolution by, first, rejectingconflicting variants; next, rejecting more specific context variants;and then, accepting a most specific of the remaining variants for theinput context.

As illustrated in the example of FIG. 19, context resolution may occurat packaging time. First, as illustrated in the example of FIG. 20,conflicting context variants are rejected. As shown in the example ofFIG. 21, conflicting context variants may be further eliminated based onan input context at packaging time.

FIG. 22 illustrates an example content management services system 2200.Content management services 2200 includes interrelationships of contentstorage, directory, lifecycle management, and packaging services.Packaging includes distribution and dependent management services, forexample. The example content management services system 2200 managescontent lifecycle.

The example system 2200 includes an interface 2210, which connects to acontent manager 2220. The content manager 2220 connects with contentstorage services 2230, content directory services 2240, contentpackaging services 2250, and content lifecycle services 2260.

Content storage services 2230 includes an interface 2231 providingaccess to structured and unstructured content storage 2232-2233 andinteracts with a data services foundation for document storage services2270 for structured and/or unstructured document services 2270-2271.

Content directory services 2240 provides, via an interface 2241, contentsearching 2242 along with a content directory manager 2243. The manager2243 accesses content metadata management 2244 and content versionmanagement 2245, for example. Content directory services 2240 include adirectory store 2246 and a metadata store 2247, for example.

Content packaging services 2250 include an interface 2251 providingaccess to a content packaging manager 2252. The manager 2252 interactswith content distribution services 2253, content dependency managementservices 2254, and content packaging services 2255. Content distributionservices 2253 connect to a content package export 2256 and contentpackage export 2257. Content dependency management services 2254 andcontent packaging services 2255 communicate with a dependency map andpackage store 2258. Content packaging services 2255 also communicateswith a content-type package plug-in 2259, which communicates with aterminology foundation 2280, in the example of FIG. 22. As shown in FIG.22, the interface 2251 communicates with a serviceability foundation2282 and a content services foundation 2284.

Content lifecycle services 2260 includes an interface 2261 for a contentlifecycle manager 2262 which connects to storage 2263. The contentlifecycle manager 2262 interacts with a workflow and activity managementfoundation 2290.

FIG. 23 illustrates another example content management services system2300. In the example of FIG. 23, the system 2300 includes a contentstorage service 2310, a content directory service 2320, an activecontent loading and retrieval service 2330, a content deployment service2340, a content management service 2350, a content packaging anddistribution service 2360, a content lifecycle manager 2370, and acontent type manager 2380. Components of the example system 2300 operateas described above with respect to managing, storing, loading,deploying, etc., content in a content-driven system and/or process.

FIG. 24 illustrates a flow diagram for an example method 2400 ofcreating and managing a clinical application in a content-based system.At block 2410, terminology is used to interpret one or more contentitems including associated data. For example, content including labtests can be evaluated to determine the lab test name(s) using theavailable terminology. Terminology may be common and coded across acustomer base and/or particularly designed for a customer, for example.

Clinical content includes structured knowledge components such asdecision support rules, protocols, reports, user preferences (e.g.triage form layout) and unstructured knowledge components such asdischarge instructions, and guidelines. Content can include and/or beassociated with clinical decision support.

At block 2420, the one or more content items (e.g., instances of acontent class) from one or more content classes are associated accordingto one or more detailed clinical models (e.g., CEMs). For example, datafor lab test results identified using the terminology can be modeledusing CEMs.

In certain examples, a detailed clinical model defines, at a granularlevel, the structure and content of a data element. A detailed clinicalmodel pulls the information together into a single, explicit, andcomputable form. The detailed clinical models or clinical element models(CEMs) govern the content and structure of data objects stored in anexample clinical repository and used by one or more clinicalapplications, for example. In addition, CEMs are extensible, such thatcontent authors may add new CEMs or attributes to existing CEMs withoutrequiring major changes to database structures or software, for example.

At block 2430, a formlet is formed from the one or more associated andmodeled content items. A formlet provides a way to display a particularcontent item (e.g., a way to display a particular lab result). Theformlet is formed according to a detailed clinical model, for example,organizing the associated content items, which are also organizedaccording to one or more detailed clinical models, for example.

At block 2440, a clinical application form is constructed from one ormore formlets. For example, a detailed clinical model can be used toorganize one or more formlets into a clinical application, such as adashboard or other clinical information view.

A clinical form definition provides an application or view (e.g., adashboard) of a collection of formlets (e.g., a multi-patient view (MPV)showing one or more lab results and/or other information). For example,if a particular MPV definition is moved from one customer to another,the MPV definition along with other content items on which the formdefinition depends are imported into the new customer's knowledgerepository. Content items may include appropriate formlets, CEMs, andterminology, for example.

At block 2450, the application is packaged for deployment. For example,the application may be packaged in an executable, a container, a seriesof files to be compiled by a customer and/or at run time, etc. Thecontent and data organized to form the clinical application can betransmitted together or separately to a customer site for installationand/or execution, for example.

At block 2460, execution of the clinical application is facilitated. Forexample, packaged content (e.g., as a form including formlets includingmodels organizing content according to a terminology) is provided forexecution based on a reference platform. The reference platformfacilitates content interpretation and management and also providesreference services to facilitate installation and execution of theclinical application by a customer.

FIG. 25 illustrates a flow diagram for an example method 2500 ofcontent-driven clinical information management. At block 2510, contentand data are organized in a repository and/or other electronic datastore. For example, data (e.g., clinical and/or non-clinical data)relating to a patient, a condition, a diagnosis, a treatment, a bestpractice or other reference information can be stored in a repository,such as a clinical data repository. Content is an externalization orparameterization of “the instructions” that tell applications how towork. For example, content is a collection of externalized informationthat tells an application, in conjunction with data, how to behave. Incertain examples, a clinical knowledge platform takes in and executescontent against data to render applications visually and behaviorally.

In certain examples, content can include data read and interpreted by aprogram to define or modify presentation, behavior, and/or semantics ofthe program and/or of application data consumed by the program, forexample. Content includes documents presented to a client by a programwithout modification, for example. Content can be created, stored,deployed, and/or retrieved independently of the creation and deploymentof the program(s) consuming the data, for example.

Classes of content can include configuration content, preferencescontent, reference content, application content, etc. Content types cancombine behaviors of two or more classes, for example. In certainexamples, each content type is associated with a generic, extensiblestructure that particular content instances of the content type follow.A content item can be associated with a plurality of variants for one ormore contexts (e.g., role, language, location, customer, department,clinical type, user context, patient context, etc.). A manual and/orautomated selection of a variant can be made for a general content type.

At block 2520, content can be authored as all (e.g., a form) or part(e.g., a formlet) of an application or view (e.g., a dashboard, such asa hospital-acquired conditions dashboard, rapid recovery dashboard, MPV,etc.). A clinical application can be generated using a terminologyfoundation for content and data, modeled according to one or moredetailed clinical models, along with a dependency map illustratingrelationships and dependencies between content/data according to the oneor more clinical models.

In certain examples, content can be scalable. For example, the process2500 is scalable in that the process 2500 can support core content asdetermined by and/or for a particular application in addition tocustomer/competitor specific content. Content can be versionable tocapture desired variation in program behavior and/or semantics, forexample. The process 2500 is also expressive to allow end-users toconsume the content to support individual preferences at an enterpriselevel, for example.

At block 2530, content and data are packaged as one or more clinicalapplications. For example, application(s) can be packaged according toone or more detailed clinical data models (e.g., CEMs) organizingcontent and leveraging data according to the content and model(s). Incertain examples, one or more clinical applications can be packageddifferently according to customer, namespace, location, etc.

At block 2540, the package can then be distributed or deployed to one ormore targets for installation. The package can be distributed accordingto namespace, for example. Content can be distributed as a large set ofitems (e.g., a new installation), as one or more individual items (e.g.,a bug fix), etc. A deployed content item is logically (and possiblyphysically) a different object than the content item being deployed. Forexample, a deployed content item has an independent state and lifecycle.Multiple content items can be created during deployment (e.g., deployinga CDL model can generate a CE Type object and an XML Schema). In certainexamples, a source content item may not exist in the runtime system(e.g., the source CDL model is not deployed, the generated CE Typeobject is deployed). In certain examples, each deployed content item isbundled with content items used to execute or consume the item. Forexample, a bundle or content frame of items can be formed in a contentpackage for deployment.

At block 2550, the distributed content-based application is installed.The package can be a new installation, an update, an upgrade, a patch,etc. In certain examples, content dependencies are resolved uponinstallation. Content dependencies can also be resolved at packaging, ondeployment, at runtime, etc.

At block 2560, the content-based application is managed. For example,one or more content type managers interact with a content managementframe to implement event handlers. Event handlers can handledependencies between content items (e.g., between resolved contextvariants of content items). In certain examples, system management toolsare provided to further create, export, import, and/or deploy contentpackages. In certain examples, a content frame including deployedcontent items is loaded from storage and made available for use by oneor more running applications. Content items in the content frame can betranslated during loading, for example, to resolve terminologydesignations, retrieve pick-lists, etc. In certain examples, a contenttype manager determines whether to translate at retrieval time, loadtime, etc.

In certain examples, lifecycle management involves a set of workflowsthat manage transition of a content item from one state to another(e.g., via a set of states and state transitions represented as a statemachine for a content type). Each state in the content type statemachine is associated with a workflow that manages the content item whenin that state. Workflows can be represented as content items to allowvariation across system implementations.

Certain examples also provide semantic interoperability. The process2500 provides an infrastructure for clinical entities to createsemantically interoperable systems to derive clinical, research andbusiness benefits thereof.

In certain examples, the process 2500 enables modular content packagingand pluggable deployment. This flexibility allows tailorable content tosupport different types of clients to augment a “surround and supplementstrategy”, wherein a small client with limited budget can go live withonly couple of modules/content-deployers while a large enterprisecustomer might want a whole suite of content management infrastructure.

Certain examples define processes apriori to help ensure that structuredand unstructured clinical content development and management ispredictable, measurable, efficient and integrated into applicationlifecycle management. Building a clinical application using the contentmanagement process 2500 provides significant benefits by making itscalable, expressive, standards supportive, semantically interoperable,and flexible.

Certain examples provide a customizable application separate from amaintainable system. The clinical information system application isimplemented in content, that is, as a set of content items that arecreated and maintained independently of the system, often by thecustomers of the system themselves. The reference platform (e.g., thesystem) is maintained, enhanced, tested, and deployed using traditionaldevelopment techniques by the vendor. Since the application (e.g., incontent) is independent of the reference platform, the two can evolvelargely independently of each other. This allows a much greater degreeof possible customization without reducing the maintainability of thesystem.

Clinical information systems (CIS) that are content-driven providefunctionality that improves clinical outcomes by enhancing compliancewith institutionally/nationally recognized standards of care and reducepractice variation. A new process has been defined to streamline theclinical content management from its inception to its consumption by theCIS.

FIG. 26 illustrates a flow diagram for an example method 2600 ofheuristic content resolution in an extensible content management system.For example, a particular content item, such as content item 510 shownin FIG. 5, may have a plurality of context variants which may in turnhave a plurality of context variants. A heuristic and/or other algorithmcan be applied to identify an appropriate (e.g., a most appropriate)context variant for a particular content item based on one or morecriterion (e.g., a user's current context). This can be referred to ascontext resolution. Context resolution involves conditioning aselection, composition, and/or behavior of a content item based on aspecified value, such as a context of the user. FIGS. 12-21 illustrateexamples of heuristic variant determination as described further inconnection with the method 2600 of FIG. 26.

Context resolution can occur at three levels, for example: selection ofa content item, selection of a content frame, and translation of acontent item. Selection of one or more content items on which a contentitem being deployed is dependent can occur based on context, forexample. Selection of a content frame based on context can occur whenthe content frame is retrieved by an application. Translation of acontent item based on context can occur when loading or retrieving acontent frame.

Multiple variants of a content item can be resolved based on who, what,or where the content consumer is, for example. This allows users tocreate, specialize, and/or customize their own content on top of defaultor vendor-released content (e.g., shareable and interopeable content).This allows for a single content type to vary by properties associatedwith the content consumer without having to customize every applicationthat consumes a particular content item to be aware of the appropriaterules to vary the display of the content.

In clinical applications, content can be displayed in different waysbased on a context of application use. For example, a role of aclinician may impact what clinical information the user wants to see andhow the user wants to see it. A location of a user can also impact thetype of information that is desired to be displayed based on clinicalneed and preference, for example. There is also a need to displayclinical information in multiple languages, especially for patients.

At block 2610, a content item is identified. The content item can beidentified in conjunction with a formlet combining a plurality ofcontent items according to one or more clinical element models, forexample. The formlet may be part of a form to provide information andfunctionality to a user according to one or more clinical elementmodels, for example. Identification and context resolution can occur atruntime, at packaging, etc.

At block 2620, available context variants for the content item areidentified. For example, a content item can be stored in a clinicalrepository along with a plurality of context variants and an indicationof the available context variants for that content item. Contextvariants can be identified based on an input context value or values(e.g., metadata associated with the content indicating user, role,location, namespace, department, etc.) provided at runtime, packagingtime, etc., for example.

At block 2630, conflicting context variants are rejected. For example,if an input context indicates a language of “English” and a role of“nurse”, then conflicting variants from the pool of variants including“French”, “doctor”, etc., are rejected or eliminated from consideration.

At block 2640, more specific context variants are rejected. For example,for an input context of English nurse (e.g., “en/nurse”), contextvariants that provide additional detail/variation, such as Labor andDelivery (e.g., LDS), Labor and Delivery Nurse, etc., are eliminated orremoved from consideration.

At block 2650, a most specific variant of the remaining context variantsfor that content item, is selected. For example, continuing the Englishnurse context input example, remaining variants English (e.g., “en”) andEnglish nurse (e.g., “en/nurse”) are reviewed to select a most specificremaining variant (e.g., as shown in FIGS. 14-15). In this example, thatcontext variant is Triage English nurse. That context variant isselected for use as the particular content item for the clinicalapplication (e.g., a formlet forming part of a form).

Resolution of context by an application allows appropriate informationto be displayed based on who, what, and/or where the user of theapplication is. This ability enables streamlined workflows and targeteddocumentation for clinical use. This also gives flexibility to customizecontent for specific use(s). Thus, context selection or resolutionutilizes a heuristic to resolve ambiguity or conflict among availablecontext variants (e.g., weighting or priority schemes, default rules,etc.). Changing/adding a context variant, changing weight of a contextattribute, etc., can change context resolution on another content item,for example.

While an example manner of implementing systems and methods have beenillustrated in the figures, one or more of the elements, processesand/or devices illustrated in the figures may be combined, divided,re-arranged, omitted, eliminated and/or implemented in any other way.Further, one or more components and/or systems may be implemented byhardware, software, firmware and/or any combination of hardware,software and/or firmware. Thus, for example, any of the examplecomponents and/or systems may be implemented by one or more circuit(s),programmable processor(s), application specific integrated circuit(s)(ASIC(s)), programmable logic device(s) (PLD(s)) and/or fieldprogrammable logic device(s) (FPLD(s)), etc. When any of the appendedclaims are read to cover a purely software and/or firmwareimplementation, at least one of the example components and/or systemsare hereby expressly defined to include a tangible medium such as amemory, DVD, Blu-ray, CD, etc., storing the software and/or firmware.Further still, any of the example systems may include one or moreelements, processes and/or devices in addition to, or instead of, thoseillustrated in the figures, and/or may include more than one of any orall of the illustrated elements, processes and devices.

The flow diagrams depicted in the figures are representative of machinereadable instructions that can be executed to implement exampleprocesses and/or systems described herein. The example processes may beperformed using a processor, a controller and/or any other suitableprocessing device. For example, the example processes may be implementedin coded instructions stored on a tangible medium such as a flashmemory, a read-only memory (ROM) and/or random-access memory (RAM)associated with a processor (e.g., the example processor 2712 discussedbelow in connection with FIG. 27). Alternatively, some or all of theexample processes may be implemented using any combination(s) ofapplication specific integrated circuit(s) (ASIC(s)), programmable logicdevice(s) (PLD(s)), field programmable logic device(s) (FPLD(s)),discrete logic, hardware, firmware, etc. Also, some or all of theexample processes may be implemented manually or as any combination(s)of any of the foregoing techniques, for example, any combination offirmware, software, discrete logic and/or hardware. Further, althoughthe example processes are described with reference to the figures, othermethods of implementing the processes of may be employed. For example,the order of execution of the blocks may be changed, and/or some of theblocks described may be changed, eliminated, sub-divided, or combined.Additionally, any or all of the example processes of may be performedsequentially and/or in parallel by, for example, separate processingthreads, processors, devices, discrete logic, circuits, etc.

FIG. 27 is a block diagram of an example processor system 2710 that maybe used to implement the apparatus and methods described herein. Asshown in FIG. 27, the processor system 2710 includes a processor 2712that is coupled to an interconnection bus 2714. The processor 2712 maybe any suitable processor, processing unit or microprocessor. Althoughnot shown in FIG. 27, the system 2710 may be a multi-processor systemand, thus, may include one or more additional processors that areidentical or similar to the processor 2712 and that are communicativelycoupled to the interconnection bus 2714.

The processor 2712 of FIG. 27 is coupled to a chipset 2718, whichincludes a memory controller 2720 and an input/output (I/O) controller2722. As is well known, a chipset typically provides I/O and memorymanagement functions as well as a plurality of general purpose and/orspecial purpose registers, timers, etc. that are accessible or used byone or more processors coupled to the chipset 2718. The memorycontroller 2720 performs functions that enable the processor 2712 (orprocessors if there are multiple processors) to access a system memory2724 and a mass storage memory 2725.

The system memory 2724 may include any desired type of volatile and/ornon-volatile memory such as, for example, static random access memory(SRAM), dynamic random access memory (DRAM), flash memory, read-onlymemory (ROM), etc. The mass storage memory 2725 may include any desiredtype of mass storage device including hard disk drives, optical drives,tape storage devices, etc.

The I/O controller 2722 performs functions that enable the processor2712 to communicate with peripheral input/output (I/O) devices 2726 and2728 and a network interface 2730 via an I/O bus 2732. The I/O devices2726 and 2728 may be any desired type of I/O device such as, forexample, a keyboard, a video display or monitor, a mouse, etc. Thenetwork interface 2730 may be, for example, an Ethernet device, anasynchronous transfer mode (ATM) device, an 802.11 device, a DSL modem,a cable modem, a cellular modem, etc. that enables the processor system2710 to communicate with another processor system.

While the memory controller 2720 and the I/O controller 2722 aredepicted in FIG. 27 as separate blocks within the chipset 2718, thefunctions performed by these blocks may be integrated within a singlesemiconductor circuit or may be implemented using two or more separateintegrated circuits.

Certain embodiments contemplate methods, systems and computer programproducts on any machine-readable media to implement functionalitydescribed above. Certain embodiments may be implemented using anexisting computer processor, or by a special purpose computer processorincorporated for this or another purpose or by a hardwired and/orfirmware system, for example.

Certain embodiments include computer-readable media for carrying orhaving computer-executable instructions or data structures storedthereon. Such computer-readable media may be any available media thatmay be accessed by a general purpose or special purpose computer orother machine with a processor. By way of example, suchcomputer-readable media may comprise RAM, ROM, PROM, EPROM, EEPROM,Flash, CD-ROM or other optical disk storage, magnetic disk storage orother magnetic storage devices, or any other medium which can be used tocarry or store desired program code in the form of computer-executableinstructions or data structures and which can be accessed by a generalpurpose or special purpose computer or other machine with a processor.Combinations of the above are also included within the scope ofcomputer-readable media. Computer-executable instructions comprise, forexample, instructions and data which cause a general purpose computer,special purpose computer, or special purpose processing machines toperform a certain function or group of functions.

Generally, computer-executable instructions include routines, programs,objects, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Computer-executableinstructions, associated data structures, and program modules representexamples of program code for executing steps of certain methods andsystems disclosed herein. The particular sequence of such executableinstructions or associated data structures represent examples ofcorresponding acts for implementing the functions described in suchsteps.

Embodiments of the present invention may be practiced in a networkedenvironment using logical connections to one or more remote computershaving processors. Logical connections may include a local area network(LAN) and a wide area network (WAN) that are presented here by way ofexample and not limitation. Such networking environments are commonplacein office-wide or enterprise-wide computer networks, intranets and theInternet and may use a wide variety of different communicationprotocols. Those skilled in the art will appreciate that such networkcomputing environments will typically encompass many types of computersystem configurations, including personal computers, hand-held devices,multi-processor systems, microprocessor-based or programmable consumerelectronics, network PCs, minicomputers, mainframe computers, and thelike. Embodiments of the invention may also be practiced in distributedcomputing environments where tasks are performed by local and remoteprocessing devices that are linked (either by hardwired links, wirelesslinks, or by a combination of hardwired or wireless links) through acommunications network. In a distributed computing environment, programmodules may be located in both local and remote memory storage devices.

Although certain methods, apparatus, and articles of manufacture havebeen described herein, the scope of coverage of this patent is notlimited thereto. To the contrary, this patent covers all methods,apparatus, and articles of manufacture fairly falling within the scopeof the appended claims either literally or under the doctrine ofequivalents.

The invention claimed is:
 1. A method of content-driven clinicalinformation management comprising: facilitating, using a first processorand an interface at a first computer system, authoring of content andcombination of a plurality of the content to form a content-basedapplication, the content representing a parameterization of instructionsexecutable to instruct the content-based application regarding how theapplication is to operate in conjunction with received data, thereceived data being distinct from the content forming the content-basedapplication, the content organized into one or more formlets to form thecontent-based application according to one or more detailed clinicalmodels, the detailed clinical models specifying content structure,content interconnection and content behavior according to a formletdefinition to form the content-based application, the detailed clinicalmodels specifying treatment of the received data by the content, whereinfacilitating authoring of content and combination of a plurality of thecontent to form a content-based application further includes (i)automatically selecting, by the processor, a context variant of acontent item from among a plurality of available context variantsarranged in a context hierarchy stored in content storage for thecontent item based on a comparison of an input context value to theplurality of available context variants to automatically rejectconflicting context variants and more specific context variants toselect a most specific context variant of remaining available contextvariants as a selected context variant and (ii) using, by the processor,the selected context variant of the content item retrieved from thecontext hierarchy stored in the content storage in forming thecontent-based clinical application, the selected context variantassociated with an identifier and a relationship to the content item;packaging and deploying the content based application, using theprocessor and based at least part on the identifier and relationship ofthe selected context variant, to at least a second computer system atone or more target sites for installation; facilitating, using theprocessor, installation of the packaged content based application at theone or more target sites; and managing, using the processor, an updatefor the content based application remotely from the one or more targetsites, wherein content is created, stored, deployed, and retrievedindependently of the creation and deployment of the content-basedapplication, the content-based application to consume data and executethe content with respect to the received data and a reference platform,and wherein the reference platform alters a second processor to form aclinical information system including a content class manager to formthe content item and its parameterized instructions into a content frameaccording to the selected context variant to form the content-basedapplication, and the content-based application is executed via a contentclass interpreter to configure the second processor to interpret thecontent forming the content-based application using the referenceplatform.
 2. The method of claim 1, wherein the content-basedapplication is versioned for each of a plurality of target sites.
 3. Themethod of claim 2, further comprising tracking the versionedcontent-based application for compatibility among versions.
 4. Themethod of claim 1, wherein the content includes structured andunstructured clinical content.
 5. The method of claim 1, whereinfacilitating further comprises facilitating authoring of a scalablecontent-based application for a clinical enterprise.
 6. The method ofclaim 1, wherein content comprises at least one of configurationcontent, preferences content, reference content, and applicationcontent.
 7. The method of claim 1, wherein content is structured tofacilitate semantic interoperability.
 8. The method of claim 1, whereinfacilitating authorizing of content further comprises automaticallyidentifying, using a processor, dependencies, tasks, and associatedresources to form the content-based application.
 9. The method of claim1, wherein content includes data read and interpreted by thecontent-based clinical application to at least one of define and modifyat least one of presentation, behavior, and semantics of at least one ofthe content-based clinical application and data consumed by thecontent-based clinical application.
 10. A tangible computer-readablestorage device including computer program code which, when executed,implements a method of content-driven clinical information management,the method comprising: facilitating, using a first processor and aninterface at a first computer system, authoring of content andcombination of a plurality of the content to form a content-basedapplication, the content representing a parameterization of instructionsexecutable to instruct the content-based application regarding how theapplication is to operate in conjunction with received data, thereceived data being distinct from the content forming the content-basedapplication, the content organized into one or more formlets to form thecontent-based application according to one or more detailed clinicalmodels, the detailed clinical models specifying content structure,content interconnection and content behavior according to a formletdefinition to form the content-based application, the detailed clinicalmodels specifying treatment of the received data by the content, whereinfacilitating authoring of content and combination of a plurality of thecontent to form a content-based application further includes (i)automatically selecting, by the processor, a context variant of acontent item from among a plurality of available context variantsarranged in a context hierarchy stored in content storage for thecontent item based on a comparison of an input context value to theplurality of available context variants to automatically rejectconflicting context variants and more specific context variants toselect a most specific context variant of remaining available contextvariants as a selected context variant and (ii) using, by the processor,the selected context variant of the content item retrieved from thecontext hierarchy stored in the content storage in forming thecontent-based clinical application, the selected context variantassociated with an identifier and a relationship to the content item;packaging and deploying the content based application, using theprocessor and based at least part on the identifier and relationship ofthe selected context variant, to at least a second computer system atone or more target sites for installation; facilitating, using theprocessor, installation of the packaged content based application at theone or more target sites; and managing, using the processor, an updatefor the content based application remotely from the one or more targetsites, wherein content is created, stored, deployed, and retrievedindependently of the creation and deployment of the content-basedapplication, the content-based application to consume data and executethe content with respect to the received data and a reference platform,and wherein the reference platform alters a second processor to form aclinical information system including a content class manager to formthe content item and its parameterized instructions into a content frameaccording to the selected context variant to form the content-basedapplication, and the content-based application is executed via a contentclass interpreter to configure the second processor to interpret thecontent forming the content-based application using the referenceplatform.
 11. The computer-readable storage device of claim 10, whereinthe content-based application is versioned for each of a plurality oftarget sites.
 12. The computer-readable storage device of claim 11,wherein the method further comprises tracking the versionedcontent-based application for compatibility among versions.
 13. Thecomputer-readable storage device of claim 10, wherein the contentincludes structured and unstructured clinical content.
 14. Thecomputer-readable storage device of claim 10, wherein facilitatingfurther comprises facilitating authoring of a scalable content-basedapplication for a clinical enterprise.
 15. The computer-readable storagedevice of claim 10, wherein content comprises at least one ofconfiguration content, preferences content, reference content, andapplication content.
 16. The computer-readable storage device of claim10, wherein content is structured to facilitate semanticinteroperability.
 17. The computer-readable storage device of claim 10,wherein facilitating authorizing of content further comprisesautomatically identifying, using a processor, dependencies, tasks, andassociated resources to form the content-based application.
 18. Thecomputer-readable storage device of claim 10, wherein content includesdata read and interpreted by the content-based clinical application toat least one of define and modify at least one of presentation,behavior, and semantics of at least one of the content-based clinicalapplication and data consumed by the content-based clinical application.